wendao / CAGE-Prox
Computer aided proximal decaging as a universal strategy for temporal protein activation
☆23Updated 5 years ago
Alternatives and similar repositories for CAGE-Prox:
Users that are interested in CAGE-Prox are comparing it to the libraries listed below
- PyDock Tutorial☆30Updated 6 years ago
- Making Protein folding accessible to all!☆22Updated last year
- Structure-based self-supervised learning enables ultrafast prediction of stability changes upon mutations☆56Updated 2 months ago
- Small_molecule_binder_design_use_pseudocycles☆18Updated 5 months ago
- Rosetta Funclib☆20Updated 4 years ago
- a universal framework for computational protein design☆35Updated last year
- HyperMPNN ‒ A general strategy to design thermostable proteins learned from hyperthermophiles☆54Updated 2 months ago
- An accurate and efficient protein sequence design approach☆24Updated last month
- a fast and accurate physical energy function extended from EvoEF for protein sequence design☆29Updated last year
- Some Rosetta Scripts that allow for various simple tasks☆14Updated 5 years ago
- ML-optimized library design with improved fitness and diversity for protein engineering☆32Updated 8 months ago
- A bundle of deep-learning packages for biomolecular structure prediction and design contributed to the Rosetta Commons☆35Updated 2 years ago
- ☆26Updated 8 months ago
- Repo contains source code of the SurfaceID paper☆22Updated last year
- Graphinity: Equivariant Graph Neural Network Architecture for Predicting Change in Antibody-Antigen Binding Affinity☆30Updated last month
- Material to run the HADDOCK antibody-antigen modelling protocol☆22Updated last year
- Controlling the usage of hydrophobic residues on AfDesign for binder peptide design with AlphaFold hallucination protocol☆31Updated last year
- ☆26Updated 2 months ago
- Fraction of Common Contacts Clustering Algorithm for Protein Structures☆26Updated 3 years ago
- Bioinformatics and Cheminformatics protocols for peptide analysis☆41Updated 2 years ago
- ☆26Updated this week
- Scripts used for Mulligan et al. (2020): Computationally-designed peptide macrocycle inhibitors of New Delhi metallo-beta-lactamase 1☆17Updated 3 years ago
- ☆43Updated 7 months ago
- Fast and accurate protein domain segmentation using Invariant Point Attention☆36Updated 4 months ago
- Analysis of alphafold and colabfold results☆25Updated last week
- Create or modify Rosetta params files (topology files) from scratch, RDKit mols or another params file☆32Updated last year
- Machine Learning models for in vitro enzyme kinetic parameter prediction☆42Updated last week
- Active Learning-Assisted Directed Evolution for Protein Engineering☆46Updated 5 months ago
- Deep learning framework for protein sequence design from a backbone scaffold that can leverage the molecular context including non-protei…☆39Updated 4 months ago
- DDGScan: an integrated parallel workflow for the in silico point mutation scan of protein☆48Updated last year